Understanding human attention patterns and viewing strategies for UHD content is important for developing efficient data compression algorithms and accurate objective quality metrics. To help studying these properties and their dynamics when HD content is replaced with UHD content, we provide a publicly accessible dataset, called Ultra-Eye, which is composed of 41 4K UHD and HD images in TIFF format with corresponding eye tracking information. The eye tracking information includes the fixation points and fixation density maps measured during extensive subjective experiments. The dataset can be used for research purposes.
You can download all image files, lists of fixation points and fixation density maps from the following FTP (please use dedicated FTP clients, such as FileZilla or FireFTP): FTP address: tremplin.epfl.ch User name: UltraEye@grebvm2.epfl.ch Password: 96U#JXe7fX(990dZ The total size of the dataset is about 1.3 GB.
LicensePermission is hereby granted, without written agreement and without license or royalty fees, to use, copy, modify, and distribute the data provided and its documentation for research purpose only. The data provided may not be commercially distributed. In no event shall the Ecole Polytechnique Fédérale de Lausanne (EPFL) be liable to any party for direct, indirect, special, incidental, or consequential damages arising out of the use of the data and its documentation. The Ecole Polytechnique Fédérale de Lausanne (EPFL) specifically disclaims any warranties. The data provided hereunder is on an "as is" basis and the Ecole Polytechnique Fédérale de Lausanne (EPFL) has no obligation to provide maintenance, support, updates, enhancements, or modifications. The images named "C05_(U)HD.tif" and "C11_(U)HD.tif" were recorded by nvp3d in Lausanne. If you use any of these two images in a scientific paper, website, or any other publicly accessible media, you must include the following copyright below each image: "© nvp3d, Lausanne, 2012"
References and Citation
If you use the Ultra-Eye dataset in your research, we kindly ask you to reference the following paper [NHK14] and URL link of this website (http://mmspg.epfl.ch/ultra-eye).
NHK14: H. Nemoto, P. Hanhart, P. Korshunov, and T. Ebrahimi. Ultra-Eye: UHD and HD images eye tracking dataset. Sixth International Workshop on Quality of Multimedia Experience (QoMEX), Singapore, September 2014.